Self Organizing Map method
Mining hidden information from library databases using SOM (Self Organizing Map)
... Retrieval Method Based Information Retrieval Method Based on SOM (Self Organizing Map) on SOM (Self Organizing Map) Algorithm to Order Documents Algorithm to Order ...
22
Internet Traffic Forecasting Model Using Self Organizing Map and Support Vector Regression Method
... study self organizing map (SOM) and support vector regression (SVR) algorithm are used as forecasting ...This method is used to forecast ISPs traffic internet in Jakarta and surrounding ...
6
Efficient Satellite Image Segmentation using Energetic Self Organizing Map
... Self-Organizing Map(SOM) [2] is an unsupervised neural network ...feature map preserves neighbourhood relations of the input pattern ...
8
Social Interaction and Self-Organizing Map
... Abstract– Self Organizing Maps or SOMs are mostly used to represent a multidimensional data in much lower dimension ...new method to the creation of self-organizing ...of ...
8
Creation of Text Document Matrices and Visualization by Self-Organizing Map
... • The common word list is a list of the words which will not be included into the document dictionary. Often the words such as ‘there’, ‘where’, ‘that’, ‘when’, etc. compose the common word list. All of them are not ...
10
Self organizing map and least square support vector machine method for river flow modelling
... Because of this matter, the forecasting result may be inaccurate or invalid. An incorrect or inaccurate prediction will cause such a huge loss and inconvenience to the management and to the end-user. The suitability of ...
45
Path Optimization for Line Scanning on Flat Panel Displays Using a Self Organizing Map
... The points, assigned by nodes, are replaced by their original pairs of points (the two tips of the defect lines). However the path distance may have huge differences on the way on which direction the line of one point ...
6
INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... quantization method (SOM or NG) is more suitable to use in the com- bination with MDS; (2) which initialization way of two-dimensional points is most suitable in the consecutive combination of SOM or NG and MDS, ...
9
A Literature Review of methods used for Partial Discharge Type Detection and its Improvised Techniques
... executed self organizing map for different high voltage equipments ...the method for alternator data by introducing google colaboratory of Python to display the heat map directly for ...
7
SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... on self-organizing map ...the method can automatically (self-organizing) clusters ...assignment method in which a social network is divided into smaller sub-networks ...
6
Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... With the appearance of microelectronics, as sensor nodes became cheaper, smaller and lower weight, their batteries became smaller too. The main and most important reason for Wireless Sensor Networks development was for ...
8
An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation
... can map the areas and can be used as tools to visualize the identified causative factors of the ...trained map before starting the visual ...clustering method are proving to be useful in spatial ...
6
Image Compression using Neural Network
... Fano method, LZ Method, Run Length Method, LZ-77 are more recent methods for the compression of ...based self-organizing Kohonen map technique that may be a reliable and ...
7
Lifestyle patterns in the Iranian population: Self- organizing map application
... As for consuming oil, the participants were categorized into 2 groups: 1) people who mostly consumed saturated oil (hydrogenated vegetable fats, butter or other animal fats, margarine) and 2) those who mainly consumed ...
8
NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... In the first cycle, we remove clusters which their data numbers are less than a specific threshold, T1, (clusters with few pixels). T1 is computed via the number of image pixels. Then, the data whose clusters are removed ...
6
Customer Segmentation of Credit Card Default by Self Organizing Map
... of Self Organizing Map (SOM) to seg- ment individuals based on their credit ...learning method that reduces data complexity and dimensionality while keeping sits original topology, which is ...
6
Application of Self Organizing Map for Exploration of REEs’ Deposition
... considered. Self-organizing map or briefly SOM is a type of artificial neural network (ANN), which is applied for clustering and its advantages, is to involve topological settings of dataset and ...
12
Multistrategy self-organizing map learning for classification problems
... To investigate the effectiveness of PSO in evolving the weights from SOM, the proposed method has been performed in the testing and validation process. In the testing phase, data is presented to the network with ...
12
Integrative Self Organizing Map—A Mean Pattern Model
... In cancer research, we may often wish to search for common cancer signatures [2-17], based on the under- standing that diseases may have some common gene ex- pression pattern in spite of diseases heterogeneity. For ...
6
Quantifying Solar Irradiance Variability Using Self-Organizing Map (SOM) Method
... When compared to other generation sources, solar PV has the fastest startup time. It only takes seconds to startup. However, the ramp rate is also in seconds which indicates high fluctuations frequency [4]. The current ...
24